vinscode

此函数的功能为一个一维时间序列的多重分形特征(The function of this function for a one-dimensional time series of multi-fractal characteristics of)

快速NCC(normalized cross correlation)算法实现。比matlab自带的normxcorr2 快10-20倍。在windows Unix环境下c语言，和matlab编译通过。(use Matlab on Windows or Linux or Mac OS X and want fast (exact, general-case) normalized correlation (NCC) code right now, then download it and enjoy the large performance gain over Matlab s normxcorr2 (demo included). For the brave (and/or masochistic) there is B), however, it is unlikely you will do better than the above. Thanks to Liang Jin for making the OS X binary (his performance comparison graph on a PowerPC). )

This program has evolved over time and uses programming

线性规划问题(单纯形法、完整单纯形法与修正单纯形法)与整数规划问题(割平面法、分支定界法与0-1规划)的matlab源程序(matlab source programs of linear programming including simple method, complete simple method and modified simple method and integer programming including dividing plane method, branch and bound method and 0-1 programming method.)

说明：  布尔代数解决数学问题！A参加B不参加，A和C不同时参加等等~~(buerdaishu!)

model of wind power plant with synchronous generator, created in pscad 4.2

对LTE标准下Turbo的三路输出进行子块交织，列入行出。(Standards for LTE Turbo three-way output sub-block interleaving, included the line out.)

用乘同余法产生随机数 ,产生的(0-1)均匀分布的随机序列 白噪声产生程序,用乘同余法产生(Produced by the same method with more than random number generated (0-1) uniformly distributed random sequence white noise generation process, with the method generated by congruence)

calculate optimum number of bins when construct histograming.

The aim of the assignment is to understand the concept of the image enhancement stage We need to know the technique to improve the image or better input for the image processing technique as in the assignment. In the first part of the assignment is the segmentation using thresholding technique. Before we threshold the image, we need to prepare the better image for input such as histogram equalization to stretch the intensity value of the image before converting to binary image. In the second part of the assignment is about frequency domain. We need to transform the spatial image to frequency image using Fourier transform of the image before using the filter.